Distinctive interest point selection for efficient near-duplicate image retrieval
IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016, New Mexico, Amerika Birleşik Devletleri, 6 - 08 Mart 2016, cilt.2016-April, ss.49-52, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Cilt numarası: 2016-April
- Doi Numarası: 10.1109/ssiai.2016.7459172
- Basıldığı Şehir: New Mexico
- Basıldığı Ülke: Amerika Birleşik Devletleri
- Sayfa Sayıları: ss.49-52
- Anahtar Kelimeler: density map generation, interest point selection, near-duplicate image detection, Near-duplicate image retrieval
- Ankara Yıldırım Beyazıt Üniversitesi Adresli: Hayır
Özet
© 2016 IEEE.Distinctive subset of the interest points creation for near-duplicate image retrieval is significant in two terms. The former is that the query time decreases reasonably. The latter is that using the distinctive subsets performs better than the ordinary subsets. In this paper, we focus on the creation of such subsets for effective near-duplicate retrieval and propose a novel interest point selection method. In this method, the distinctive subset is created with a ranking according to a density map calculated from the interest points. We examined a number of experiments to show the performance of the proposed method and we got a convincing result of 95.46% recall while the precision is still 96.04%.